Principles of Artificial IntelligenceA classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study. |
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Page 367
... ( element - of PERSONS ) " as a kind of pseudo - slot- value . This form serves as an abbreviation for the formula that used the EL predicate . An expression using the ... element - of PHYS - OBJS 367 FROM PREDICATE CALCULUS TO UNITS.
... ( element - of PERSONS ) " as a kind of pseudo - slot- value . This form serves as an abbreviation for the formula that used the EL predicate . An expression using the ... element - of PHYS - OBJS 367 FROM PREDICATE CALCULUS TO UNITS.
Page 386
... of evaluations because they can be handled without domain - specific strategies and do not cause combinatorial ... ( element - of ) . For example , the sentence " Joe bought a car " might be represented either by the unit : B2 self ...
... of evaluations because they can be handled without domain - specific strategies and do not cause combinatorial ... ( element - of ) . For example , the sentence " Joe bought a car " might be represented either by the unit : B2 self ...
Page 407
... of : z The following delineations contain advice about when to use these rules : u EMPLOYEES boss - of : ( element - of EMPLOYEES ) < to - fill : R2 > works - in : ( element - of DEPARTMENTS ) r DEPARTMENTS manager : ( element - of ...
... of : z The following delineations contain advice about when to use these rules : u EMPLOYEES boss - of : ( element - of EMPLOYEES ) < to - fill : R2 > works - in : ( element - of DEPARTMENTS ) r DEPARTMENTS manager : ( element - of ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed evaluation example expression F-rule fact Figure formula function given global database goal goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables